Help Center/ ModelArts/ Model Inference/ Managing AI Applications/ Viewing Details About an AI Application
Updated on 2024-03-06 GMT+08:00

Viewing Details About an AI Application

After an AI application is created, you can view its information on the details page.
  1. Log in to the ModelArts management console. In the navigation pane on the left, choose AI Application Management > AI Applications. The AI Applications page is displayed.
  2. Click the name of the target AI application. The application details page is displayed.

    On the application details page, you can view the basic information and model precision of the AI application, and switch tab pages to view more information.

    Table 1 Basic information about an AI application

    Parameter

    Description

    Name

    Name of an AI application

    Status

    Status of an AI application

    Version

    Current version of an AI application

    ID

    ID of an AI application

    Description

    Click the edit button to add the description of an AI application.

    Deployment Type

    Types of the services that an AI application can be deployed

    Meta Model Source

    Source of the meta model, which can be training jobs, OBS, or container images.

    Training Name

    Associated training job if the meta model comes from a training job. Click the training job name to go to its details page.

    Training Version

    Training job version if the meta model comes from an old-version training job.

    Storage path of the meta model

    Path to the meta model if the meta model comes from OBS.

    Container Image Storage Path

    Path to the container image if the meta model comes from a container image.

    AI Engine

    AI engine if the meta model comes from a training job or OBS.

    Engine Package Address

    Engine package address if the meta model comes from OBS and AI Engine is Custom.

    Runtime Environment

    Runtime environment on which the meta model depends if the meta model comes from a training job or OBS and a preset AI engine is used.

    Container API

    Protocol and port number for starting the AI application if the meta model comes from OBS (AI Engine is Custom) or a container image.

    Inference Code

    Path to the inference code if the meta model comes from an olde-version training job.

    Image Replication

    Image replication status if the meta model comes from OBS or a container image.

    Dynamic loading

    Dynamic loading status if the meta model comes from a training job or OBS.

    Size

    Size of an AI application

    Health Check

    Health check status if the meta model comes from OBS or a container image. If health check is enabled, the following parameters are displayed: Check Mode, Health Check URL, Health Check Period, Delay, and Maximum Failures.

    AI Application Description

    Description document added during the creation of an AI application.

    Instruction Set Architecture

    System architecture.

    Inference Accelerator

    Type of inference accelerator cards.

    Table 2 Details page of an AI application

    Parameter

    Description

    Model Precision

    Model recall, precision, accuracy, and F1 score of an AI application

    Parameter Configuration

    API configuration, input parameters, and output parameters of an AI application

    Runtime Dependency

    Model dependency on the environment. If creating a job failed, edit the runtime dependency. After the modification is saved, the system will automatically use the original image to create the job again.

    Events

    The progress of key operations during AI application creation

    Events are stored for three months and will be automatically cleared then.

    For details about how to view events of an AI application, see Viewing Events of an AI Application.

    Constraint

    Displays the constraints of service deployment, such as the request mode, boot command, and model encryption, based on the settings during AI application creation. For AI applications in asynchronous request mode, parameters including the input mode, output mode, service startup parameters, and job configuration parameters can be displayed.

    Associated Services

    The list of services that an AI application was deployed. Click a service name to go to the service details page.